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DBMS > AgensGraph vs. Splice Machine vs. Titan vs. Weaviate

System Properties Comparison AgensGraph vs. Splice Machine vs. Titan vs. Weaviate

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonSplice Machine  Xexclude from comparisonTitan  Xexclude from comparisonWeaviate  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTitan is a Graph DBMS optimized for distributed clusters.An AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitebitnine.net/­agensgraphsplicemachine.comgithub.com/­thinkaurelius/­titangithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationbitnine.net/­documentationsplicemachine.com/­how-it-worksgithub.com/­thinkaurelius/­titan/­wikiweaviate.io/­developers/­weaviate
DeveloperBitnine Global Inc.Splice MachineAurelius, owned by DataStaxWeaviate B.V.
Initial release2016201420122019
Current release2.1, December 20183.1, March 20211.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoApache license, version 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaJavaGo
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemedepending on used data modelyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyesnoGraphQL is used as query language
APIs and other access methodsCypher Query Language
JDBC
JDBC
Native Spark Datasource
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Clojure
Java
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesyes infoJavayesno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShared Nothhing Auto-Sharding, Columnar Partitioningyes infovia pluggable storage backendsSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesyesyes infoRelationships in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardUser authentification and security via Rexster Graph ServerAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
AgensGraphSplice MachineTitanWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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AgensGraphSplice MachineTitanWeaviate
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